Business Growth Strategist

About our data science team: We are a leading AI consulting firm dedicated to harnessing the power of artificial intelligence to drive business growth worldwide. Our team offers unparalleled solutions to clients by leveraging expertise in data analytics and growth optimization.

• Conduct comprehensive cohort analysis using mobile app data to track user acquisition, retention, and revenue performance across different user segments and marketing channels.
• Calculate and monitor key growth metrics including customer lifetime value (CLV), return on investment (ROI), return on ad spend (ROAS), payback periods, and customer acquisition costs (CAC).
• Build and maintain advanced attribution models to measure marketing campaign effectiveness and optimize budget allocation across channels.
• Collaborate with data engineers to design, optimize, and maintain data pipelines that process raw data for analytical purposes.
• Develop complex SQL queries in Snowflake to extract, transform, and analyze large datasets for growth insights.
• Create and maintain interactive dashboards in Metabase to visualize key performance metrics and provide self-service analytics for stakeholders.
• Design and execute A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics.
• Partner with client teams to optimize campaigns, identify growth features, and align analytics with business planning.
• Conduct market research and competitive analysis to identify growth opportunities and benchmark performance.
• Create predictive models to forecast user behavior, revenue projections, and campaign performance.

• Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, Marketing Analytics, or a related quantitative field.
• 3+ years of proven experience as a Growth Analyst, Marketing Analyst, or similar analytical role, preferably in mobile app or SaaS environments.
• Expert-level proficiency in SQL for complex data manipulation and analysis, with specific experience in Snowflake data warehousing.
• Advanced experience with Metabase for creating interactive dashboards and self-service analytics solutions.
• Demonstrated experience with mobile attribution platforms, with specific expertise in data analysis and reporting.
• Strong proficiency in statistical analysis, cohort analysis, and predictive modeling techniques.
• Deep understanding of mobile app growth metrics including CLV, CAC, ROAS, retention rates, and revenue attribution models.
• Proficiency in Python or R for advanced analytics and statistical modeling.
• Experience with A/B testing methodologies, experimental design, and statistical significance testing.
• Experience working as a contractor or consultant, with ability to quickly integrate into client teams and deliver results.

• Master's degree in a relevant quantitative field.
• Experience with additional BI tools and cloud platforms.
• Knowledge of ETL processes, data pipeline development, and workflow orchestration tools.
• Experience with machine learning techniques for predictive analytics and customer behavior modeling.
• Previous experience in mobile gaming, e-commerce, fintech, or other high-growth mobile app industries.
• Knowledge of additional mobile analytics platforms and customer data platforms.
• Understanding of incrementality testing, media mix modeling, and privacy-first measurement approaches.
• Familiarity with data privacy regulations and their impact on analytics and attribution.
• Previous consulting experience with successful client engagements and proven track record of driving data-driven decisions.
• Strong presentation and communication skills with ability to translate complex insights to non-technical stakeholders.